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63 lines
2.7 KiB
Python
63 lines
2.7 KiB
Python
import os
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import pytest
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from fastNLP.core.metrics import Accuracy
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from fastNLP.core.drivers.paddle_driver.fleet_launcher import FleetLauncher
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from fastNLP.envs.imports import _NEED_IMPORT_PADDLE
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if _NEED_IMPORT_PADDLE:
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import paddle
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import paddle.distributed
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import paddle.distributed.fleet.base.role_maker as role_maker
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import paddle.distributed.fleet as fleet
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############################################################################
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#
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# 测试 单机单卡情况下的Accuracy
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#
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############################################################################
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@pytest.mark.paddle
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def test_accuracy_single():
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pred = paddle.to_tensor([[1.19812393, -0.82041764, -0.53517765, -0.73061031, -1.45006669,
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0.46514302],
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[-0.85775983, -2.18273783, -1.07505429, -1.45561373, 0.40011844,
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1.02202022],
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[-0.39487389, 0.65682763, -0.62424040, 0.53692561, -0.28390560,
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-0.02559055],
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[-0.22586937, -0.07676325, -0.95977223, 0.36395910, -0.91758579,
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-0.83857095],
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[0.25136873, 2.49652624, 1.06251311, 1.60194016, 1.01451588,
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0.08403367],
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[0.10844281, 1.19017303, -0.11378096, 1.12686944, -0.08654942,
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0.48605862],
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[1.27320433, -1.13902378, 1.47072780, -0.98665696, -0.42589864,
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0.64618838],
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[0.83809763, -0.05356205, 0.03042423, -0.28371972, 0.81611472,
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-0.45802942],
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[0.38535264, 0.09721313, 2.27187467, 0.32045507, -0.20711982,
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-0.13550705],
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[-0.75228405, -1.34161997, 1.08697927, 0.33218071, -1.19470012,
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2.58735061]])
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tg = paddle.to_tensor([1, 2, 1, 3, 5, 4, 4, 2, 1, 5])
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acc_metric = Accuracy()
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acc_metric.update(pred, tg)
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result = acc_metric.get_metric()
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true_result = {'acc': 0.3}
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assert true_result == result
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############################################################################
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#
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# 测试 单机多卡情况下的Accuracy
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#
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############################################################################
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# def test_accuracy_ddp():
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# launcher = FleetLauncher(devices=[0, 1])
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# launcher.launch()
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# role = role_maker.PaddleCloudRoleMaker(is_collective=True)
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# fleet.init(role)
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# if fleet.is_server():
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# pass
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# elif fleet.is_worker():
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# print(os.getenv("PADDLE_TRAINER_ID"))
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